Results 221 to 230 of about 166,031,618 (286)
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KSD Aggregated Goodness-of-fit Test
Neural Information Processing Systems, 2022We investigate properties of goodness-of-fit tests based on the Kernel Stein Discrepancy (KSD). We introduce a strategy to construct a test, called KSDAgg, which aggregates multiple tests with different kernels.
Antonin Schrab, B. Guedj, A. Gretton
semanticscholar +1 more source
2021
Disorder (HD) is a complex mental health problem defined by an overabundance of clutter, difficulty with organization and discarding, and problems regulating acquisition. This chapter describes the features of HD, evidence-based intervention approaches and outcomes, and the elements of a manualized treatment approach with emphasis on flexible delivery ...
Suzanne Otte +2 more
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Disorder (HD) is a complex mental health problem defined by an overabundance of clutter, difficulty with organization and discarding, and problems regulating acquisition. This chapter describes the features of HD, evidence-based intervention approaches and outcomes, and the elements of a manualized treatment approach with emphasis on flexible delivery ...
Suzanne Otte +2 more
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2001
The airport limousine example in Chapter 2 illustrates how important the knowledge of random distribution of data and the shape of the histogram can be to drawing statistically sound conclusions. Although we didn’t state it in the example, the assumption that the data followed a known statistical distribution was inherent in the calculations of the ...
Robert P. Trueblood, John N. Lovett
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The airport limousine example in Chapter 2 illustrates how important the knowledge of random distribution of data and the shape of the histogram can be to drawing statistically sound conclusions. Although we didn’t state it in the example, the assumption that the data followed a known statistical distribution was inherent in the calculations of the ...
Robert P. Trueblood, John N. Lovett
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Simulation, Estimation, and Goodness of Fit
2012Exploring and Relating Model to Data in Practice Previous chapters concentrated on the formulation and specification of exponential random graph models (ERGMs) for different types of relational data. In Chapter 6, we saw that effects represented by configurations and corresponding parameters define a distribution of graphs where the probability of ...
Koskinen, J., Snijders, T.A.B.
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An alternative to the goodness of fit
Acta Crystallographica Section A Foundations and Advances, 2016An alternative measure to the goodness of fit (GoF) is developed and applied to experimental data. The alternative goodness of fit squared (aGoFs) demonstrates that the GoF regularly fails to provide evidence for the presence of systematic errors, because certain requirements are not met. These requirements are briefly discussed.
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IEEE Internet of Things Journal, 2022
Freshwater is the planet’s most important natural resource and is prone to pollution, making it necessary for real-time monitoring. The Internet-of-Things (IoT)-enabled water quality monitoring (WQM) system enables real-time monitoring of freshwater ...
H. Kenchannavar +3 more
semanticscholar +1 more source
Freshwater is the planet’s most important natural resource and is prone to pollution, making it necessary for real-time monitoring. The Internet-of-Things (IoT)-enabled water quality monitoring (WQM) system enables real-time monitoring of freshwater ...
H. Kenchannavar +3 more
semanticscholar +1 more source
A Corrected Goodness-of-Fit Index (CGFI) for Model Evaluation in Structural Equation Modeling
, 2020We propose a Corrected Goodness-of-Fit Index (CGFI) for model evaluation in Structural Equation Modeling (SEM). The CGFI is essentially a corrected index that takes into account model complexity and downward bias caused by small sample size.
Kai Wang +4 more
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On the Robustness of Kernel Goodness-of-Fit Tests
Journal of machine learning researchGoodness-of-fit testing is often criticized for its lack of practical relevance: since ``all models are wrong'', the null hypothesis that the data conform to our model is ultimately always rejected as the sample size grows.
Xing Liu, François‐Xavier Briol
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Journal of the American Statistical Association, 1967
Abstract This Paper defines a class of distribution free measures of goodness of fit; their exact distribution for small samples can be calculated by means of a computer. Two of them have the same asymptotic distribution as the Kolmogorov-Smirnov statistic.
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Abstract This Paper defines a class of distribution free measures of goodness of fit; their exact distribution for small samples can be calculated by means of a computer. Two of them have the same asymptotic distribution as the Kolmogorov-Smirnov statistic.
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1987
As before, let ξ1, ..., ξn be univariate independent random variables with the same continuous d.f. F Recall $${\text{D}}_{\text{n}} = \mathop {\sup }\limits_{\text{t}} |{\text{F}}_{\text{n}} \left( {\text{t}} \right) - {\text{F}}\left( {\text{t}} \right)| $$ , the Kolmogorov goodness of fit statistic.
Peter Gaenssler, Winfried Stute
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As before, let ξ1, ..., ξn be univariate independent random variables with the same continuous d.f. F Recall $${\text{D}}_{\text{n}} = \mathop {\sup }\limits_{\text{t}} |{\text{F}}_{\text{n}} \left( {\text{t}} \right) - {\text{F}}\left( {\text{t}} \right)| $$ , the Kolmogorov goodness of fit statistic.
Peter Gaenssler, Winfried Stute
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